Network Analysis Resources & Updates – Telegram
Network Analysis Resources & Updates
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🎞 Introduction to Graph Neural Networks and What We Can Implement in the Wolfram Language

💥Free recorded tutorial

📽 Watch

📱Channel: @ComplexNetworkAnalysis
#video #GNN #Wolfram_Language
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📑 Signed Networks: theory, methods, and applications

🗓 Publish year: 2025

🧑‍💻Authors: Fernando Diaz-Diaz, Elena Candellone Miguel A. Gonz´alez-Casado, ...
🏢Universities: Universidad Carlos III de Madrid & Institute of Cross-Disciplinary Physics and Complex Systems & Universitat Pompeu Fabra & Universitat de Barcelona, Spain- Utrecht University, Netherlands

📎 Study the paper

⚡️Channel: @ComplexNetworkAnalysis
#review #signed
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📃 From Static to Dynamic: Exploring Temporal Networks in Systems Biology

🗓 Publish year: 2025

🧑‍💻Authors: Abir Khazaal, Fatemeh Vafaee
🏢University: University of New South Wales (UNSW), Sydney, Australia

📎 Study the paper

⚡️Channel:
@ComplexNetworkAnalysis
#review #temporal #systems_biology
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📄 A Systematic Survey on Generative Models for Graph Generation

🗓 Publish year: 2025

🧑‍💻Authors: Jiarui Ji, Wenda Wang, Runlin Lei,..
🏢University: Renmin University of China, China

📎 Study the paper

⚡️Channel: @ComplexNetworkAnalysis
#review #chatgpt #generative_ai
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📃A network-based analysis anticipates time to recovery from major depression revealing a plasticity by context interplay

🗓 Publish year: 2025
📘
Journal: translational psychiatry (I.F=6.2)

🧑‍💻Authors: Claudia Delli Colli, Aurelia Viglione, Silvia Poggini, Francesca Cirulli, Flavia Chiarotti, Alessandro Giuliani & Igor Branchi

🏢University: Sapienza University of Rome, Rome, Ital

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Depression #Time #plasticity #context_interplay #Review
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📑 Prediction and inference in complex networks: a brief review and perspectives

🗓 Publish year: 2025

🧑‍💻Author: Francisco A. Rodrigues
🏢University: Universidade de S˜ao Paulo, Brazil

📎 Study the paper

⚡️Channel: @ComplexNetworkAnalysis
#review #prediction #inference
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🎓 Modeling biomedical data with graph machine learning

📕PhD thesis from Technische Universität München (TUM), Germany

🗓Publish year: 2025

📎 Study thesis

⚡️Channel: @ComplexNetworkAnalysis
#thesis #biomedical #machine_learning
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